Jun Zhang

Orcid: 0000-0002-5985-8023

Affiliations:

Anhui University, Institute of Health Sciences, School of Electronic Engineering and Automation, Hefei, China
Anhui University, School of Electronic Science and Technology, Hefei, China
University of Science and Technology of China, Hefei, China (PhD 2007)

According to our database¹, Jun Zhang authored at least 86 papers between 2005 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Bibliography

2024

Incremental PID Controller-Based Learning Rate Scheduler for Stochastic Gradient Descent.

[BibT_eX]

[DOI]

Zenghui Wang

Jun Zhang

IEEE Trans. Neural Networks Learn. Syst., May, 2024

Photo realistic synthetic dataset and multi-scale attention dehazing network.

[BibT_eX]

[DOI]

Eng. Appl. Artif. Intell., 2024

IGDACA: Imaging Genomics of Deep Autoencoder Cascade Attention Fusion Networks for Cervical Cancer Prognosis Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024

2023

Exploring incomplete decoupling modeling with window and cross-window mechanism for skeleton-based action recognition.

[BibT_eX]

[DOI]

Knowl. Based Syst., December, 2023

AGCA: An Adaptive Graph Channel Attention Module for Steel Surface Defect Detection.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2023

A Comprehensive Survey and Taxonomy on Single Image Dehazing Based on Deep Learning.

[BibT_eX]

[DOI]

ACM Comput. Surv., 2023

Generative adversarial network with transformer generator for boosting ECG classification.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2023

A dual-stream deep neural network integrated with adaptive boosting for sleep staging.

[BibT_eX]

[DOI]

Biomed. Signal Process. Control., 2023

Corneal Ulcer Automatic Classification Network Based on Improved Mobile ViT.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved YOLOv5s Method for Nut Detection on Ultra High Voltage Power Towers.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Efficient and Precise Detection of Surface Defects on PCBs: A YOLO Based Approach.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Improved Deep Learning-Based Efficientpose Algorithm for Egocentric Marker-Less Tool and Hand Pose Estimation in Manual Assembly.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Multiple Classification Network of Concrete Defects Based on Improved EfficientNetV2.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

Collaborative Encoder for Accurate Inversion of Real Face Image.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Technology and Applications, 2023

2022

Transformer Model for Functional Near-Infrared Spectroscopy Classification.

[BibT_eX]

[DOI]

IEEE J. Biomed. Health Informatics, 2022

A Real-Time Steel Surface Defect Detection Approach With High Accuracy.

[BibT_eX]

[DOI]

IEEE Trans. Instrum. Meas., 2022

Protein-Protein Interaction Sites Prediction Based on an Under-Sampling Strategy and Random Forest Algorithm.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2022

A 3D Medical Image Segmentation Framework Fusing Convolution and Transformer Features.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

A Sub-network Aggregation Neural Network for Non-invasive Blood Pressure Prediction.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

COVID-19 Classification from Chest X-rays Based on Attention and Knowledge Distillation.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2022

2021

Imbalance Data Processing Strategy for Protein Interaction Sites Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2021

Paper acceptance prediction at the institutional level based on the combination of individual and network features.

[BibT_eX]

[DOI]

Scientometrics, 2021

Automatic estimation of road visibility in foggy weather based on image feature statistics.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2021

Recognition and counting of wheat mites in wheat fields by a three-step deep learning method.

[BibT_eX]

[DOI]

Neurocomputing, 2021

A Comprehensive Survey on Image Dehazing Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2020

Crop leaf disease grade identification based on an improved convolutional neural network.

[BibT_eX]

[DOI]

J. Electronic Imaging, 2020

Application of LSTM for short term fog forecasting based on meteorological elements.

[BibT_eX]

[DOI]

Neurocomputing, 2020

Occurrence prediction of cotton pests and diseases by bidirectional long short-term memory networks with climate and atmosphere circulation.

[BibT_eX]

[DOI]

Comput. Electron. Agric., 2020

Discrete Haze Level Dehazing Network.

[BibT_eX]

[DOI]

Proceedings of the MM '20: The 28th ACM International Conference on Multimedia, 2020

2019

Classification of Plant Leaf Diseases Based on Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2019

Deep spatial attention hashing network for image retrieval.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2019

Occurrence prediction of pests and diseases in cotton on the basis of weather factors by long short term memory network.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Semi-supervised prediction of protein interaction sites from unlabeled sample information.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Predicting drug-target interactions from drug structure and protein sequence using novel convolutional neural networks.

[BibT_eX]

[DOI]

BMC Bioinform., 2019

Urine Sediment Detection Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Ranking Research Institutions Based on the Combination of Individual and Network Features.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

An Optimization Regression Model for Predicting Average Temperature of Core Dead Stock Column.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 15th International Conference, 2019

Real-Time Pedestrian Detection in Monitoring Scene Based on Head Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of Apple Tree Trunk Diseases Based on Improved Convolutional Neural Network with Fused Loss Functions.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

Identification of Apple Leaf Diseases Based on Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2019

2018

Insect Detection and Classification Based on an Improved Convolutional Neural Network.

[BibT_eX]

[DOI]

Sensors, 2018

Robust feature learning for online discriminative tracking without large-scale pre-training.

[BibT_eX]

[DOI]

Frontiers Comput. Sci., 2018

Hot spot prediction in protein-protein interactions by an ensemble system.

[BibT_eX]

[DOI]

BMC Syst. Biol., 2018

dbMPIKT: a database of kinetic and thermodynamic mutant protein interactions.

[BibT_eX]

[DOI]

BMC Bioinform., 2018

Verifying TCM Syndrome Hypothesis Based on Improved Latent Tree Model.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Deep Convolutional Neural Network for Fog Detection.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Automatic License Plate Recognition Based on Faster R-CNN Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Cells Counting with Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Prediction of Protein-Protein Interaction Sites Combing Sequence Profile and Hydrophobic Information.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

Convolutional Neural Network for Short Term Fog Forecasting Based on Meteorological Elements.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Methodologies - 14th International Conference, 2018

Chinese Text Detection Using Deep Learning Model and Synthetic Data.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2018

2017

Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography.

[BibT_eX]

[DOI]

Neurocomputing, 2017

DrugRPE: Random projection ensemble approach to drug-target interaction prediction.

[BibT_eX]

[DOI]

Neurocomputing, 2017

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning.

[BibT_eX]

[DOI]

Neurocomputing, 2017

A Machine Vision Method for Automatic Circular Parts Detection Based on Optimization Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2017

CAPTCHA Recognition Based on Faster R-CNN.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2017

2016

A Sequence-Based Dynamic Ensemble Learning System for Protein Ligand-Binding Site Prediction.

[BibT_eX]

[DOI]

IEEE ACM Trans. Comput. Biol. Bioinform., 2016

Improved sparse representation with low-rank representation for robust face recognition.

[BibT_eX]

[DOI]

Chun-Hou Zheng

Yi-Fu Hou

Jun Zhang

Neurocomputing, 2016

Combine multiple mass spectral similarity measures for compound identification.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2016

A Feature Selection Scheme for Accurate Identification of Alzheimer's Disease.

[BibT_eX]

[DOI]

Proceedings of the Bioinformatics and Biomedical Engineering, 2016

Inferring Disease-Related Domain Using Network-Based Method.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Accurate Prediction of Protein Hot Spots Residues Based on Gentle AdaBoost Algorithm.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

Prediction of Hot Spots Based on Physicochemical Features and Relative Accessible Surface Area of Amino Acid Sequence.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Application, 2016

2015

A hierarchical model for identifying mild cognitive impairment.

[BibT_eX]

[DOI]

Proceedings of the 11th International Conference on Natural Computation, 2015

Prediction of Molecular Substructure Using Mass Spectral Data Based on Deep Learning.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

A Multi-feature Fusion Method for Automatic Multi-label Image Annotation with Weighted Histogram Integral and Closure Regions Counting.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

A Random Projection Ensemble Approach to Drug-Target Interaction Prediction.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

Sequence-Based Random Projection Ensemble Approach to Identify Hotspot Residues from Whole Protein Sequence.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Methodologies, 2015

Compound Identification Using Random Projection for Gas Chromatography-Mass Spectrometry Data.

[BibT_eX]

[DOI]

Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015

2013

Prediction of peptide drift time in ion mobility mass spectrometry from sequence-based features.

[BibT_eX]

[DOI]

BMC Bioinform., 2013

Inferring Transcriptional Modules from Microarray and ChIP-Chip Data Using Penalized Matrix Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Intelligent Computing Theories and Technology, 2013

Differential coexpression analysis in gene modules level and its application to type 2 diabetes.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

2012

Tumor Classification Using Eigengene-Based Classifier Committee Learning Algorithm.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Retention Index System Transformation Method Incorporated Optimal Molecular Descriptors through Particle Swarm Optimization.

[BibT_eX]

[DOI]

Jun Zhang

Qingwei Gao

Chunhou Zheng

Proceedings of the Intelligent Computing Theories and Applications, 2012

2011

Discovering the transcriptional modules using microarray data by penalized matrix decomposition.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2011

Protein Interface Residues Prediction Based on Amino Acid Properties Only.

[BibT_eX]

[DOI]

Bing Wang

Peng Chen

Jun Zhang

Proceedings of the Bio-Inspired Computing and Applications, 2011

2010

Statistical analysis of multiple significance test methods for differential proteomics.

[BibT_eX]

[DOI]

BMC Bioinform., 2010

Optimal Selection of Support Vector Regression Parameters and Molecular Descriptors for Retention Indices Prediction.

[BibT_eX]

[DOI]

Jun Zhang

Bing Wang

Xiang Zhang

Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010

2009

Ensemble component selection for improving ICA based microarray data prediction models.

[BibT_eX]

[DOI]

Pattern Recognit., 2009

Microarray data classification based on ensemble independent component selection.

[BibT_eX]

[DOI]

Comput. Biol. Medicine, 2009

A GA-Based Approach to ICA Feature Selection: An Efficient Method to Classify Microarray Datasets.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

A New Approach to Improving ICA-Based Models for the Classification of Microarray Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2009

2007

Multi-sub-swarm particle swarm optimization algorithm for multimodal function optimization.

[BibT_eX]

[DOI]

Jun Zhang

De-Shuang Huang

KunHong Liu

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Microarray data prediction by evolutionary classifier ensemble system.

[BibT_eX]

[DOI]

KunHong Liu

De-Shuang Huang

Jun Zhang

Proceedings of the IEEE Congress on Evolutionary Computation, 2007

2005

Shape matching using fuzzy discrete particle swarm optimization.

[BibT_eX]

[DOI]

Proceedings of the 2005 IEEE Swarm Intelligence Symposium, 2005

Jun Zhang

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